5 papers
Understanding Frechet Speech Distance for Synthetic Speech Quality Evaluation
June-Woo Kim, Dhruv Agarwal, Federica Cerina
Objective evaluation of synthetic speech quality remains a critical challenge. Human listening tests are the gold standard, but costly and impractical at scale. Fréchet Distance ha…
Empowering Multimodal Respiratory Sound Classification with Counterfactual Adversarial Debiasing for Out-of-Distribution Robustness
Heejoon Koo, Miika Toikkanen, Yoon Tae Kim +2
Multimodal respiratory sound classification offers promise for early pulmonary disease detection by integrating bioacoustic signals with patient metadata. Nevertheless, current app…
Improving Respiratory Sound Classification with Architecture-Agnostic Knowledge Distillation from Ensembles
Miika Toikkanen, June-Woo Kim
Respiratory sound datasets are limited in size and quality, making high performance difficult to achieve. Ensemble models help but inevitably increase compute cost at inference tim…
Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis
June-Woo Kim, Sanghoon Lee, Miika Toikkanen +2
Auscultation remains a cornerstone of clinical practice, essential for both initial evaluation and continuous monitoring. Clinicians listen to the lung sounds and make a diagnosis…
Noise-Agnostic Multitask Whisper Training for Reducing False Alarm Errors in Call-for-Help Detection
Myeonghoon Ryu, June-Woo Kim, Minseok Oh +2
Keyword spotting is often implemented by keyword classifier to the encoder in acoustic models, enabling the classification of predefined or open vocabulary keywords. Although keywo…